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Naval Artificial Intelligence Autonomous Drones – NAIAD
Traditionally, the navigation and localisation capability of drones has been placed in the background of technological solutions capable of ensuring better localisation. NAIAD aims to overcome the limitations caused by uncertain location by using automatic artificial intelligence planning techniques
Full-stack Optimization of Ultra-low-power TPGs for Intelligent Cyberphysical Systems – foutics
The increasing complexity of deep neural network based artificial intelligence (AI) is creating a challenge for embedding AI in ultra-low power (ULP) Internet-of-Things (IoT) devices and Cyber- Physical Systems (CPS). The aim of the FOUTICS project is to propose full-stack methods to train and infer
A New Data Paradigm: Intelligent and Self-Managed Data – SKYDATA
Nowadays, who controls the data, controls the world or at least the IT world. Usually Data are managed through a middleware, but in this project, we propose a new data paradigm without any data manager. We want to endow the data with autonomous behaviors and thus create a new entity, so-called S
INTelligent, ACTive MicroBIOme-based, biodegradable PACKaging for Mediterranean food – INTACTBioPack
INTACTBioPack is a 36-month time-frame project involving a pan-Mediterranean consortium of 11 partners that aims to foster the adoption by the Mediterranean region, of novel, cost-competitive, biodegradable, and reusable food packaging, able to reduce food waste and loss. This relies on three main o
Mining medical archives and pathological collections in the digital age. Artificial intelligence at the frontiers of biology and the humanities. – ArchiMed
At the intersection of cultural and biological heritage, the project develops an interdisciplinary methodology to read and re-interpret two exceptional and massive collections of human biological materials and paper registries in Strasbourg and Geneva amassed over the 20th century. Our radical appro
Large-scale coin die studies with artificial intelligence – STUDIES
In the domain of numismatics and ancient economy, there is a long expressed and large expectation to estimate the volumes of produced coinage. Study of coin-finds and hoards not being reliable, die studies are the best way to understand the mint outputs and therefore the relation of coinage to Polit
Artificial intelligence for food-related emotions analysis – aiMotions
Emotions constitute an essential factor that significantly influences our behaviors. Eating behavior is no exception and the relationships between emotions and food are of great interest to the scientific community. Emotional states influence eating behavior including motivation to eat, food choice,
Editing and analysing hIstorical astronomical Diagrams with Artificial intelligence – EIDA
For centuries across Eurasia the astral sciences were fostered to meet a wide range of religious, ritualistic and political needs, to observe and understand the natural world. Consequently, in multiple interrelated cultural contexts, practitioners compiled manuscripts including numerical tables, tex
Artificial-Intelligence-based Methods for Nanobody Design – ANDES
ANDES aims at developing and experimentally validating new computational methods for nanobody design, with a large spectrum of applications (therapies, diagnosis…) in order to have efficient technological solutions, ready to react very quickly and to face the emergence of new viruses. Our ambition l
Artificial Intelligence for Virtual Screening and Drug Discovery: Integrated Machine Learning and Molecular Electron Density approach – ScoreDockPolariz
Virtual screening and docking-scoring methods are essential in preselecting hit molecules for pharmacological targets among millions of compounds. Structure-based methods aim to select the best potential hits for in vitro assays. Docking and scoring remain currently a major challenge in retrieving t
